What are the hardware requirements for GPT 132?

GPT 132 requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT 132 and how large is it?

GPT 132 is developed by gokulsrinivasagan, a model with 163m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GPT 132 perform on standard benchmarks?

GPT 132 has the following published scores: LMSYS ELO 1276. Compare against reference models on this page or on the LLM Explorer leaderboards.

GPT 132 by gokulsrinivasagan — VRAM 0.3GB

Name: GPT 132
Author: gokulsrinivasagan

GPT 132 is an open-source language model by gokulsrinivasagan. Features: 163m LLM, VRAM: 0.3GB, License: mit, LLM Explorer Score: 0.26, ELO: 1276.

Base model:finetune:gokulsrini... Base model:gokulsrinivasagan/g... Dataset:gokuls/wiki book corpu... Endpoints compatible Generated from trainer Gpt2 Model-index Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/gokulsrinivasagan/gpt_132

GPT 132 Benchmarks

LMSys ELO 1276 vs 1272 (so35) 0.3%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

GPT 132 Parameters and Internals

Model Type

Causal Language Modeling, text-generation

Training Details

Data Sources:

gokuls/wiki_book_corpus_complete_raw_dataset

LLM Name	GPT 132
Repository 🤗	https://huggingface.co/gokulsrinivasagan/gpt_132
Base Model(s)	gokulsrinivasagan/gpt_120 gokulsrinivasagan/gpt_120
Model Size	163m
Required VRAM	0.3 GB
Updated	2026-08-06
Maintainer	gokulsrinivasagan
Model Type	gpt2
Model Files	0.3 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
License	mit
Model Max Length	1024
Transformers Version	4.42.0.dev0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	bfloat16
Activation Function	gelu_new

Rank the GPT 132 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to GPT 132

Best Alternatives	Context / RAM	Downloads
GPT 144	0K / 0.3 GB	7
Gpt2 RMT 5	0K / 0.3 GB	31
Gpt2 RMT 3	0K / 0.3 GB	26
Gpt2 RMT 6	0K / 0.3 GB	25
GPT 168	0K / 0.3 GB	6

Note: green Score (e.g. "73.2") means that the model is better than gokulsrinivasagan/gpt_132.